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Correlation of human immunodeficiency virus and antiretroviral therapy with cardiac disorders

Global Health Journal 2023年第3期7卷 130-136页

作者： riya sharma Mandeep kaur Department of Pharmacy Practice ISF College of PharmacyMogaPunjab 142001India

The occurrence of cardiovascular illness in the human immunodeficiency virus(HIV)community is increasing,with a particular focus on coronary heart *** infected with HIV have a higher risk of myocardial infarction compared to the general population in modern countries due to the development of effective antiretroviral medications and increased life *** not receiving highly active antiretroviral therapy(ART)may experience common cardiac consequences,including myocarditis,dilated cardiomyopathy,endocarditis,pulmonary hypertension,pericardial effusion,and cardiotoxicity associated with non-antiretroviral *** the use of highly active ART,continuing immune activation and systemic inflammation seem to play a central role in this *** studies suggest that protease inhibitors might negatively impact the progression of HIV-related heart failure(HF),which complicates the determination of the best therapy strategy for HIVassociated *** objective of this review is to examine the pathophysiology and correlation of various antiretroviral drugs leading to HIV-associated ***,we explore the causes of HIV-associated atherosclerotic cardiovascular disease,including the high frequency of classic cardiovascular risk factors in HIVinfected patients,as well as HIV-related factors like the use of ART and chronic inflammation despite successful treatment of HIV *** studies have revealed that individuals living with HIV/acquired immune deficiency syndrome frequently experience *** conclusion,despite advancements in HIV care,HIV-infected individuals continue to face an increased risk of HIV-associated cardiomyopathy and *** research is necessary to comprehend the underlying causes and develop effective treatments for cardiovascular disease in this *** also discuss the currently available therapeutic options and ongoing research to mitigate the risk of cardiovascular disease and

关键词： Antiretroviral therapy Cardiac disorders Myocardial infarction cardiomyopathy Heart failure HIV/AIDS Myocardial infarction

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GRADE: Deep learning and garlic routing-based secure data sharing framework for IIoT beyond 5G

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Digital Communications and Networks 2023年第2期9卷 422-435页

作者： Nilesh Kumar Jadav riya Kakkar Harsh Mankodiya Rajesh Gupta Sudeep Tanwar Smita Agrawal Ravi sharma Department of Computer Science and Engineering Institute of TechnologyNirma UniversityAhmedabadGujaratIndia Centre for Inter-Disciplinary Research and Innovation University of Petroleum and Energy StudiesP.O.Bidholi Via-Prem NagarDehradunIndia

The rise of automation with Machine-Type Communication(MTC)holds great potential in developing Industrial Internet of Things(IIoT)-based applications such as smart cities,Intelligent Transportation Systems(ITS),supply chains,and smart industries without any human ***,MTC has to cope with significant security challenges due to heterogeneous data,public network connectivity,and inadequate security *** overcome the aforementioned issues,we have proposed a blockchain and garlic-routing-based secure data exchange framework,i.e.,GRADE,which alleviates the security constraints and maintains the stable connection in ***,the Long-Short-Term Memory(LSTM)-based Nadam optimizer efficiently predicts the class label,i.e.,malicious and non-malicious,and forwards the non-malicious data requests of MTC to the Garlic Routing(GR)*** GR network assigns a unique ElGamal encrypted session tag to each machine partaking in ***,an Advanced Encryption Standard(AES)is applied to encrypt the MTC data ***,the InterPlanetary File System(IPFS)-based blockchain is employed to store the machine's session tags,which increases the scalability of the proposed GRADE ***,the proposed framework has utilized the indispensable benefits of the 6G network to enhance the network performance of ***,the proposed GRADE framework is evaluated against different performance metrics such as scalability,packet loss,accuracy,and compromised rate of the MTC data *** results show that the GRADE framework outperforms the baseline methods in terms of accuracy,i.e.,98.9%,compromised rate,i.e.,18.5%,scalability,i.e.,47.2%,and packet loss ratio,i.e.,24.3%.

关键词： Garlic routing Blockchain I2P LSTM Artificial intelligence Onion routing

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